Date of Publication :23rd March 2023

Abstract: A scale to measure the nerve damage is necessary for automatic methods intended to evaluate the degree of facial palsy. The grading scales specifically divide the the facial nerve injury into a number of distinct stages in accordance with some stringent criteria. These measurements are related to auxiliary characteristics like synkinesis and deal with the symmetry of the face during neutral expressions or a sequence of voluntary facial movements. The facial palsy has various phases which include pre-processing, segmentation, feature extraction and classification. The voting classification model is proposed which is the combination of the multiple classifiers for the facial palsy prediction. The proposed model is implemented in python and results is analyzed in terms of accuracy, precision and recall.

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